Literature DB >> 25789549

Typical weekly workload of under 15, under 17, and under 19 elite Portuguese football players.

Diogo Coutinho1, Bruno Gonçalves, Bruno Figueira, Eduardo Abade, Rui Marcelino, Jaime Sampaio.   

Abstract

This study aims to describe the time-motion and physiological performance profiles of footballers whose ages are under 15 (U15), under 17 (U17), and under 19 (U19) during a typical week of a competitive season. A total of 151 elite Portuguese players U15 (age 14.0 ± 0.2; n = 56), U17 (age 15.8 ± 0.4; n = 66), and U19 (age 17.8 ± 0.6; n = 19) were monitored during 33 training sessions (TSs) (U15 n = 12; U17 n = 11; and U19 n = 10 TSs). The TS data were captured at 15 Hz by global positioning systems devices and divided into post-match (session after the match), prematch (session before the match), and middle week (average of remaining sessions). The U15 middle week showed a higher number of sprints, distance covered in intermediate speed zones, and time spent above 90% HRmax, while the prematch presented a higher distance covered above 18 km · h(-1) and time spent below 75% HRmax. In U17, both prematch and post-match data presented lower values than middle-week data in most of the variables. The post-match data in U19 presented higher values of distance covered above 13 km · h(-1), body impacts above 10 G, and time spent above 85% HRmax, while middle week showed higher values in body impacts in most of the zones. In addition, the prematch data presented 35% to 100% less values than the middle-week data. Understanding the weekly workload variations according to the competition and the developmental ages of the players can contribute to optimising short- and mid-term planning.

Keywords:  development ages; external load; internal load; periodisation; training microcycle

Mesh:

Year:  2015        PMID: 25789549     DOI: 10.1080/02640414.2015.1022575

Source DB:  PubMed          Journal:  J Sports Sci        ISSN: 0264-0414            Impact factor:   3.337


  17 in total

1.  Quantification of Training Load Relative to Match Load of Youth National Team Soccer Players.

Authors:  Gyorgy Szigeti; Gabor Schuth; Peter Revisnyei; Alija Pasic; Adam Szilas; Tim Gabbett; Gabor Pavlik
Journal:  Sports Health       Date:  2021-04-05       Impact factor: 3.843

2.  Off-training physical activity and training responses as determinants of sleep quality in young soccer players.

Authors:  Nuno Mateus; Juliana Exel; Bruno Gonçalves; Anthony Weldon; Jaime Sampaio
Journal:  Sci Rep       Date:  2021-05-13       Impact factor: 4.379

3.  Effects of Chronological Age, Relative Age, and Maturation Status on Accumulated Training Load and Perceived Exertion in Young Sub-Elite Football Players.

Authors:  José Eduardo Teixeira; Ana Ruivo Alves; Ricardo Ferraz; Pedro Forte; Miguel Leal; Joana Ribeiro; António J Silva; Tiago M Barbosa; António M Monteiro
Journal:  Front Physiol       Date:  2022-03-31       Impact factor: 4.755

4.  Acceleration and Speed Performance of Brazilian Elite Soccer Players of Different Age-Categories.

Authors:  Irineu Loturco; Ian Jeffreys; Ronaldo Kobal; César C Cal Abad; Rodrigo Ramirez-Campillo; Vinicius Zanetti; Lucas A Pereira; Fábio Y Nakamura
Journal:  J Hum Kinet       Date:  2018-10-15       Impact factor: 2.193

5.  Extracting spatial-temporal features that describe a team match demands when considering the effects of the quality of opposition in elite football.

Authors:  Bruno Gonçalves; Diogo Coutinho; Juliana Exel; Bruno Travassos; Carlos Lago; Jaime Sampaio
Journal:  PLoS One       Date:  2019-08-22       Impact factor: 3.240

6.  Positional Differences in Peak- and Accumulated- Training Load Relative to Match Load in Elite Football.

Authors:  Ivan Baptista; Dag Johansen; Pedro Figueiredo; António Rebelo; Svein A Pettersen
Journal:  Sports (Basel)       Date:  2019-12-23

7.  Profile of 1-month training load in male and female football and futsal players.

Authors:  Filipe Manuel Clemente; Pantelis Theodoros Nikolaidis
Journal:  Springerplus       Date:  2016-05-23

8.  Exploring how playing football with different age groups affects tactical behaviour and physical performance.

Authors:  Bruno Figueira; Bruno Gonçalves; Nerijus Masiulis; Jaime Sampaio
Journal:  Biol Sport       Date:  2017-11-23       Impact factor: 2.806

9.  Accuracy of a Basketball Indoor Tracking System Based on Standard Bluetooth Low Energy Channels (NBN23®).

Authors:  Bruno Figueira; Bruno Gonçalves; Hugo Folgado; Nerijus Masiulis; Julio Calleja-González; Jaime Sampaio
Journal:  Sensors (Basel)       Date:  2018-06-14       Impact factor: 3.576

10.  Training Loads and RSA and Aerobic Performance Changes During the Preseason in Youth Soccer Squads.

Authors:  Tiago Cetolin; Anderson Santiago Teixeira; Almir Schmitt Netto; Alessandro Haupenthal; Fábio Yuzo Nakamura; Luiz Guilherme Antonacci Guglielmo; Juliano Fernandes da Silva
Journal:  J Hum Kinet       Date:  2018-12-31       Impact factor: 2.193

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